In this work, we use the commonsense transformer model COMET [1]} to extract the commonsense features. COMET is trained on several commonsense knowledge graphs to perform automatic knowledge base construction. The model is given a triplet {\(s, r, o\) } from the graph and is trained to generate the object phrase \(o\)  from concatenated subject phrase \(s\)  and relation phrase \(r\) . COMET is an encoder-decoder model that uses the pretrained autoregressive language model GPT [2]} as the base generative model.
